Title :
Thermal Unit Commitment using FLAC guided modified dynamic programming approach
Author :
Muralidharan, S. ; Kumar, V. Mathan ; Baalavignesh, A.
Abstract :
This paper presents a modified form of Dynamic Programming for solving Unit Commitment problem which encompass pre-dispatch and economic dispatch sub problems. The predispatch sub problem in UC is solved by unit classification based on Full Load Average production Cost. Solution for second sub problem is obtained using the modified form of DP. Modified form of dynamic programming technique suggested by this paper provides the generation schedule of individual generators in an analytical form even for a large number of variables without the traditional Lagrangian form. 10-generator system is tested using this algorithm for 24-hour scheduling horizon and the test result is compared with various other techniques. The result analysis exhibit the superiority of the proposed method.
Keywords :
dynamic programming; power generation dispatch; power generation economics; thermal power stations; FLAC guided modified dynamic programming approach; economic dispatch subproblem; full load average production cost; predispatch subproblem; thermal unit commitment; unit classification; Artificial neural networks; Dynamic programming; Economics; Equations; Generators; Mathematical model; Production; Dynamic Programming(DP); Economic Dispatch(ED); Full Load Average Production Cost (FLAC); Unit Commitment(UC);
Conference_Titel :
Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference on
Conference_Location :
Sivakasi
Print_ISBN :
978-1-4577-2146-5
DOI :
10.1109/ICONRAEeCE.2011.6129807